Details
Original language | English |
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Title of host publication | 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3128-3133 |
Number of pages | 6 |
ISBN (print) | 1424406595, 9781424406593 |
Publication status | Published - 2007 |
Event | 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China Duration: 11 Mar 2007 → 15 Mar 2007 |
Publication series
Name | IEEE Wireless Communications and Networking Conference, WCNC |
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ISSN (Print) | 1525-3511 |
ISSN (electronic) | 1558-2612 |
Abstract
Sensor networks are a flavor of ad hoc wireless networks with limited computational capabilities. The task to protect such networks against misbehavior is therefore more complicated as any detection mechanism has to be simple and efficient. We employed mechanisms based on Artificial immune systems (AIS) in order to detect misbehavior. We conclude that AIS based misbehavior detection offers a decent detection performance at a very low computational cost. We show that misbehavior detection when applied at both the MAC and network layers may still not be sufficient, instead it will be necessary to extend it to layers with end-to-end connection information; this would also allow for classifying misbehavior by its potential to cause harm. These results have a direct impact on the design of AIS for sensor networks and on engineering of sensor networks.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
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2007 IEEE Wireless Communications and Networking Conference, WCNC 2007. Institute of Electrical and Electronics Engineers Inc., 2007. p. 3128-3133 4204754 (IEEE Wireless Communications and Networking Conference, WCNC).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Is AIS based misbehavior detection suitable for wireless sensor networks?
AU - Drozda, Martin
AU - Schaust, Sven
AU - Szczerbicka, Helena
N1 - This work was supported by the German Research Foundation (DFG) under the grant no. SZ 51/24-1 (Survivable Ad Hoc Networks - SANE).
PY - 2007
Y1 - 2007
N2 - Sensor networks are a flavor of ad hoc wireless networks with limited computational capabilities. The task to protect such networks against misbehavior is therefore more complicated as any detection mechanism has to be simple and efficient. We employed mechanisms based on Artificial immune systems (AIS) in order to detect misbehavior. We conclude that AIS based misbehavior detection offers a decent detection performance at a very low computational cost. We show that misbehavior detection when applied at both the MAC and network layers may still not be sufficient, instead it will be necessary to extend it to layers with end-to-end connection information; this would also allow for classifying misbehavior by its potential to cause harm. These results have a direct impact on the design of AIS for sensor networks and on engineering of sensor networks.
AB - Sensor networks are a flavor of ad hoc wireless networks with limited computational capabilities. The task to protect such networks against misbehavior is therefore more complicated as any detection mechanism has to be simple and efficient. We employed mechanisms based on Artificial immune systems (AIS) in order to detect misbehavior. We conclude that AIS based misbehavior detection offers a decent detection performance at a very low computational cost. We show that misbehavior detection when applied at both the MAC and network layers may still not be sufficient, instead it will be necessary to extend it to layers with end-to-end connection information; this would also allow for classifying misbehavior by its potential to cause harm. These results have a direct impact on the design of AIS for sensor networks and on engineering of sensor networks.
UR - http://www.scopus.com/inward/record.url?scp=36349036705&partnerID=8YFLogxK
U2 - 10.1109/WCNC.2007.578
DO - 10.1109/WCNC.2007.578
M3 - Conference contribution
AN - SCOPUS:36349036705
SN - 1424406595
SN - 9781424406593
T3 - IEEE Wireless Communications and Networking Conference, WCNC
SP - 3128
EP - 3133
BT - 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Y2 - 11 March 2007 through 15 March 2007
ER -